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Engineering Manager, Discovery Experience

DoorDash USA
CompanyDoorDash USA
CategoryUncategorised
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted17 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About the Team DoorDash is looking for an Engineering Manager to lead our Discovery Experience team, which owns the Homepage - DoorDash’s front door. It’s the first screen millions of consumers see every day, and since every session starts there, it’s the highest-leverage surface in the consumer funnel: a more personalized recommendation, a faster render, or a cleaner layout can move the metrics the whole company watches. The Homepage spans restaurants, grocery, and emerging verticals across iOS, Android, and Web. We’re rebuilding it around LLM-generated recommendations, shifting discovery from static, rules-based feeds to generative, intent-driven experiences that respond to real-time signals in the moment. About the Role You will lead and grow a team of product-focused full stack engineers, owning both the product and technical direction for the discovery surface - deciding where discovery goes next and how it’s built. You’ll set the roadmap and drive execution alongside Product, Design, Data Science, and ML/Recommendation Platform partners, and you’ll own the quality, velocity, and consumer impact your team ships. It’s a role with real ownership and the room to grow both the product and the team behind it. You’re excited about this opportunity because you will… Own the Homepage end to end, the highest-traffic surface at DoorDash and where every consumer session begins Turn Homepage bets into company-level outcomes: real lift in conversion and order rate for millions of consumers Define discovery quality for DoorDash: getting the right store, restaurant, or item in front of the right consumer at the right moment Ship LLM-gen recommendations and intent-aware discovery that route consumers to the right experience across food, grocery, retail, and emerging verticals Partner across Product, Design, Data Science, and ML/Recommendation Platform teams to shape the discovery roadmap and ship the experiences behind it Build an inclusive, high-performing team by coaching engineers, supporting career growth, and scaling the org as impact grows Drive product velocity while holding a high bar for reliability, performance, and user experience Architect the backend systems and APIs that assemble a fast, personalized Homepage across iOS, Android, and Web We’re excited about you because… You have a B.S., M.S., or Ph.D. in Computer Science or equivalent You have 7+ years of industry experience, including minimum of 2 years of management experience You have experience managing engineering disciplines across BE + Android + iOS + Web You bring in strong product sense and can be a thought partner with cross-functional peers You have hands-on experience working with non-technical stakeholders, cross-team collaboration, and building scalable products in a fast-paced environment You have the ability to handle ambiguity and work with product and business partners to collect non-technical requirements to design and build scalable experience solutions You have the ability to guide and grow an excellent engineering team in a rapidly changing business environment   Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skill
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